Computational Social Science has changed our understanding of our society. Today, we have the tools to understand social and economic challenges at scale and ultimately improve the way these challenges are addressed globally. Nevertheless, a diluted and disconnected set of efforts from the scientific community, the lack of integration within ground actors, and critical technical challenges like privacy or representativeness of the most vulnerable populations are impeding the application of these academic and technological breakthroughs. CSS for impact (CSS4impact) is a workshop about envisioning and ultimately building towards high impact solutions to compelling societal-scale problems, e.g., transportation, health, sustainability, epidemiology, privacy, and policy-making. We will present projects, ideas, and tools needed to accomplish this, ranging from new observational studies to experiments, interventions, and real-life deployments.

Topics of interests will be (but are not limited to):

• Novel methods for identifying and measuring vulnerabilities in our society.

• Data availability and privacy: novel open datasets and studies on representativeness and bias, algorithmic privacy, transparency and fairness in the context of social good applications.

• Better models to understand societal problems like well-being, epidemics, cities, poverty or sustainable goals.

• AI for Impact: use of artificial intelligence solutions for societal-scale impact solution.

• CSS and policy making: operationalize computational social science research for sustainable solutions that can be deployed and scale in our societies.